AWS was pleased to present and connect with more than 18,000 in-person attendees and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (ai) conference held in March 2024 in San Jose, California, and returning to a hybrid in-person experience. for the first time since 2019.
AWS has had a long-standing collaboration with NVIDIA for more than 13 years. AWS was the first cloud service provider (CSP) to offer NVIDIA GPUs in the public cloud and remains among the first to deploy the latest NVIDIA technologies.
Looking back at AWS re:Invent 2023, NVIDIA Founder and CEO Jensen Huang chatted with AWS CEO Adam Selipsky on stage, discussing how NVIDIA and AWS are working together to enable millions of developers access powerful technologies needed to rapidly innovate with generative technology. ai. NVIDIA is known for its cutting-edge accelerators and end-to-end solutions that contribute to advancements in ai. The company is combining this expertise with highly scalable, reliable, and secure AWS cloud infrastructure to help customers run advanced graphics, machine learning, and generative ai workloads at an accelerated pace.
The collaboration between AWS and NVIDIA expanded further at GTC 2024, with CEOs from both companies sharing their perspectives on the collaboration and the state of ai at a amazon-aws-nvidia-collaboration” target=”_blank” rel=”noopener”>Press release:
“The deep collaboration between our two organizations dates back more than 13 years, when together we launched the world's first GPU cloud instance on AWS, and today we offer the widest range of NVIDIA GPU solutions for customers,” says ai-innovation” target=”_blank” rel=”noopener”>Adam Selipsky, CEO of AWS. “NVIDIA's next-generation Grace Blackwell processor marks a significant step forward in ai and GPU generative computing. When combined with the powerful AWS Elastic Fabric Adapter networking, hyperscale clustering of amazon EC2 UltraClusters, and the advanced virtualization and security capabilities of our unique AWS Nitro System, we make it possible for customers to create and run large language models with billions of parameters faster. on a massive scale and more safely than anywhere else. “Together, we continue to innovate to make AWS the best place to run NVIDIA GPUs in the cloud.”
“ai is driving advances at an unprecedented pace, giving rise to new applications, business models and innovation across industries,” he says. ai-innovation” target=”_blank” rel=”noopener”>Jensen Huang, founder and CEO of NVIDIA. “Our collaboration with AWS is accelerating new generative ai capabilities and giving customers unprecedented computing power to push the boundaries of what's possible.”
Joint announcements and keynote
On the first day of the NVIDIA GTC, AWS and NVIDIA made a ai-innovation” target=”_blank” rel=”noopener”>joint announcement focused on their strategic collaboration to advance generative ai. Huang included the AWS and NVIDIA collaboration on a slide during his fundamentalhighlighting the following ai-innovation” target=”_blank” rel=”noopener”>advertisements. The GTC fundamental It had more than 21 million views in the first 72 hours.
Media coverage
As of March 22, the AWS announcement with NVIDIA had generated 104 articles mentioning AWS and amazon. The vast majority of coverage mentioned AWS's plans to offer Blackwell-based instances. Adam Selipsky appeared in CNBC Mad Money to discuss the long-standing collaboration between AWS and NVIDIA, among the many other ways AWS is innovating in generative ai, stating that AWS has been the first to bring many of its GPUs to the cloud to drive efficiency and scalability for customers.
The Ceiba Project has also been the focus of attention in the media. Forbes He referred to Project Ceiba as AWS and NVIDIA's “most exciting” project, stating that it “should accelerate the pace of innovation in ai, making it possible to address more complex problems, develop more sophisticated models, and achieve advances previously unattainable.” The next platform published an in-depth article on Ceiba, stating that “the size and aggregate computing of the Ceiba cluster is expanding radically, which will give AWS a very large supercomputer in one of its data centers” and NVIDIA will use it to make ai. research, among other things.
Live from GTC
“Live from GTC” was a studio at GTC for guest speakers to have a fireside chat with tech influencers like VentureBeat. Chetan Kapoor, director of product management for amazon EC2 at AWS, was interviewed by VentureBeat in it Live from GTC studio, where he discussed AWS' presence and highlighted key announcements at GTC.
The AWS booth and sessions
The AWS booth showcased generative ai services, such as LLMs with Anthropic and Cohere on amazon Bedrock. rock party, amazon Q, amazon SageMaker JumpStart and more. Highlights included:
AWS presence with partners and customers
During GTC, AWS invited 23 partner and customer solution demos to join its booth with a dedicated demo kiosk or a 30-minute in-booth session. Such partners and customers included Ansys, Anthropic, Articul8, Bria.ai, Cohere, Deci, Deepbrain.ai, Denali Advanced Integration, Ganit, Hugging Face, Lilt, Linker Vision, Mavenir, MCE, Media.Monks, Modular, NVIDIA, Perplexity . , Quantiphi, Run.ai, Salesforce, Second Spectrum and Slalom.
Among them, high-potential early-stage startups in generative ai were showcased around the world with a dedicated kiosk at the AWS booth. The AWS Startups team works closely with these companies by investing and supporting their growth, offering resources through programs like AWS Activate.
AWS Generative ai Competency
NVIDIA was one of 45 launch partners for the new AWS Generative ai Competency Program. AWS Partner Generative ai Center of Excellence team members were at the AWS booth and presented this program to existing and potential AWS Partners. The program offers valuable resources along with best practices for all AWS Partners to build, market, and sell generative ai solutions together with AWS.
Additional Resources
Look a video summary of AWS's presence at NVIDIA GTC 2024. For additional resources on the AWS and NVIDIA collaboration, see the AWS at NVIDIA GTC 2024 Resource Center.
About the Author
Julia Tang is a senior manager of global partner marketing for generative ai at amazon Web Services (AWS), where he works closely with NVIDIA to plan and execute partner marketing initiatives focused on generative ai. Throughout her tenure at AWS, she held several partner marketing roles, including Global IoT Solutions, AWS Partner Solution Factory, and Senior Campaign Manager at Americas Field Marketing. Prior to AWS, Julie served as Chief Marketing Officer at Segway. She has a master's degree in Communications Management with a concentration in entertainment marketing and management from the University of Southern California, and a double bachelor's degree in Law and Broadcast Journalism from Fudan University.
